| 磁控开关型故障限流器RBF神经网络自适应偏置电流控制 |
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| 引用本文： | 潘艳霞,姜建国,凌志斌,蔡旭.磁控开关型故障限流器RBF神经网络自适应偏置电流控制[J].上海交通大学学报,2008,42(12):2024-2027. |
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| 作者姓名： | 潘艳霞 姜建国 凌志斌 蔡旭 |
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| 作者单位： | 上海交通大学电气工程系 |
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| 基金项目： | 国家重点基础研究发展规划基金资助项目
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高等学校博士学科点专项科研基金资助项目
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| 摘 要： | 基于新型磁控开关型故障限流器偏置电流控制系统复杂的非线性时变特性,提出一种基于径向基函数神经网络的限流器偏置电流自适应控制系统,采用2个RBF神经网络来分别构成自适应控制网络和辨识网络,实现了偏置电流的实时控制.试验证明,利用该偏置电流控制系统,限流器的响应速度和限流效果可以得到保证.
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| 关 键 词： | 故障限流器 径向基函数神经网络 自适应控制 控制系统 |
RBF Neural Network Based Adaptive Bias Current Control in Magnetic-Controlled Switcher Type Fault Current Limiter |
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| PAN Yan-xia,JIANG Jiang-guo,LING Zhi-bin,CAI Xu.RBF Neural Network Based Adaptive Bias Current Control in Magnetic-Controlled Switcher Type Fault Current Limiter[J].Journal of Shanghai Jiaotong University,2008,42(12):2024-2027. |
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| Authors: | PAN Yan-xia JIANG Jiang-guo LING Zhi-bin CAI Xu |
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| Abstract: | Due to the strong nonlinearity and multivariable characteristic of novel magnetic-controlled switcher type fault current limiter(FCL) bias current control system,an approach of adaptive bias current control for the FCL based on radial basis function(RBF) neural network was presented.This method builds up an adaptive control RBF neural network and an identification RBF neural network.The system can achieve the bias current real time control,and the experimental results prove that the response speed and current limiting effect can be guaranteed when using the proposed control system. |
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| Keywords: | fault current limiter RBF neural network adaptive control control system |
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